Session-based recommendations with recurrent neural networks（阅读理解）

时间 2020-12-30

标签 RNN 栏目网站开发繁體版

原文原文链接

本文是最大贡献在于第一次将RNN使用到Session-based Recommendation中作者将用户的行为作为看做是序列问题，有效的将时间信息添加到网络中，在传统的两类推荐方法中——基于内容的推荐算法和协同过滤推荐算法（model-based、memory-based）在刻画序列数据中存在缺陷：每个item相互独立，不能建模item的连续偏好信息，缺失了整个序列的休息。而本文的方法恰好运

>>阅读原文<<

1. SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS论文解读
2. Deep Learning 论文解读——Session-based Recommendations with Recurrent Neural Networks
3. 《Collaborative Filtering with Recurrent Neural Networks》阅读
4. 《Improved Recurrent Neural Networks for Session-based Recommendations》 DLRS 2016 阅读笔记
5. Recurrent Neural Networks Tutorial阅读笔记
6. 【读】seq2seq——（1）Generating News Headlines with Recurrent Neural Networks
7. Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks阅读笔记
8. Recurrent neural networks for multivariate time series with missing values文献阅读
9. 《Online Multi-Target Tracking Using Recurrent Neural Networks》阅读笔记及理解
10. 019 Recurrent Neural Networks
更多相关文章...
• RSS 阅读器 - RSS 教程
• PHP 实例 - AJAX RSS 阅读器 - PHP教程
• JDK13 GA发布：5大特性解读
• Docker 清理命令

最新文章

1. Window下Ribbit MQ安装
2. Linux下Redis安装及集群搭建
3. shiny搭建网站填坑战略
4. Mysql8.0.22安装与配置详细教程
5. Hadoop安装及配置
6. Python爬虫初学笔记
7. 部署LVS-Keepalived高可用集群
8. keepalived+mysql高可用集群
9. jenkins 公钥配置
10. HA实用详解

本站公众号

欢迎关注本站公众号,获取更多信息

1. SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS论文解读
2. Deep Learning 论文解读——Session-based Recommendations with Recurrent Neural Networks
3. 《Collaborative Filtering with Recurrent Neural Networks》阅读
4. 《Improved Recurrent Neural Networks for Session-based Recommendations》 DLRS 2016 阅读笔记
5. Recurrent Neural Networks Tutorial阅读笔记
6. 【读】seq2seq——（1）Generating News Headlines with Recurrent Neural Networks
7. Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks阅读笔记
8. Recurrent neural networks for multivariate time series with missing values文献阅读
9. 《Online Multi-Target Tracking Using Recurrent Neural Networks》阅读笔记及理解
10. 019 Recurrent Neural Networks

>>更多相关文章<<